AFE Ops Associate

Responsibilities

• Continual, tactical communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers)
• Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed
• Publish performance metrics to assist with driving business results
• Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations
• Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data
• Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered
• Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
• Excellent communication, both verbal and written as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these findings in a review forum

Qualifications

• 1+ years of working with computers and Microsoft Office (including Outlook, Word, and Excel) experience
• High school or equivalent diploma
• Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach
• Work 40 hours/week, and overtime as required
• Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
• Are 18 years of age or older

Preferred Qualifications

• Bachelor's degree, or 2+ years of Amazon experience
• Bachelor's degree in Engineering, Operations, Supply Chain/Logistics, or a related field
• Experience in MS Access and SQL
• Knowledge of Six Sigma tools and Lean techniques
• Experience in one or more of the following industries: shipping/logistics distribution centers, manufacturing environments, hospitality, healthcare, retail, and customer-facing / customer-service environments
• Experience managing large amounts of data
• Experience using data to drive root cause elimination and process improvement